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Ch. 11 - Power Series
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Non è quello che usi tu?Cambia libro di testo
Capitolo 11, Problema 11.1.2

Does the accuracy of an approximation given by a Taylor polynomial generally increase or decrease with the order of the approximation? Explain.

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Recall that a Taylor polynomial of order \(n\) approximates a function by matching the function's value and its first \(n\) derivatives at a specific point.
Understand that increasing the order \(n\) means including higher-degree terms in the polynomial, which capture more details about the function's behavior near the point of expansion.
Recognize that, generally, as the order of the Taylor polynomial increases, the approximation becomes more accurate near the point of expansion because the polynomial better matches the function's shape.
Note that the accuracy improvement depends on the function being sufficiently smooth (infinitely differentiable) and the approximation being considered close to the expansion point.
Keep in mind that while higher-order polynomials improve accuracy locally, the approximation might not improve or could even worsen far from the expansion point due to issues like Runge's phenomenon.

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Taylor Polynomial

A Taylor polynomial approximates a function near a specific point using a finite sum of derivatives at that point. The polynomial's degree determines how many terms are included, capturing more details of the function's behavior as the degree increases.
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Taylor Polynomials

Order of Approximation

The order of a Taylor polynomial refers to its degree, indicating how many derivative terms are used. Higher-order polynomials generally provide better approximations because they incorporate more information about the function's curvature and higher derivatives.
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Higher Order Derivatives

Error and Accuracy in Taylor Approximations

The accuracy of a Taylor polynomial depends on the remainder term, which measures the difference between the function and its polynomial approximation. Typically, increasing the order reduces this error near the expansion point, improving accuracy within a certain interval.
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Taylor Series
Pratica correlata
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{Use of Tech} Newton's derivation of the sine and arcsine series Newton discovered the binomial series and then used it ingeniously to obtain many more results. Here is a case in point.

a. Referring to the figure, show that x = sin s or s = sin ⁻¹ x.

b. The area of a circular sector of radius r subtended by an angle θ is 1/2r²θ. Show that the area of the circular sector APE is s/2, which implies that

s = 2 ∫₀ˣ √(1 − t²) dt − x √(1 −x²)

c. Use the binomial series for f(x) = √(1 − x²) to obtain the first few terms of the Taylor series for s=sin ⁻¹ x.

d. Newton next inverted the series in part (c) to obtain the Taylor series for x=sin s. He did this by assuming sin s = ∑ aₖ sᵏ and solving x = sin(sin ⁻¹ x) for the coefficients aₖ. Find the first few terms of the Taylor series for sin s using this idea (a computer algebra system might be helpful as well).

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Remainders Find the remainder Rₙ for the nth−order Taylor polynomial centered at a for the given functions. Express the result for a general value of n.


f(x) = sin x, a = π/2

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Radius and interval of convergence Determine the radius and interval of convergence of the following power series.

∑ₖ₌₀∞ k(x−1)ᵏ

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Power series for derivatives


a. Differentiate the Taylor series centered at 0 for the following functions.

b. Identify the function represented by the differentiated series.

c. Give the interval of convergence of the power series for the derivative.


f(x) = eˣ

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Suppose f(0)=1, f'(0)=0, f''(0)=2, and f⁽³⁾(0)=6. Find the third-order Taylor polynomial for f centered at 0 and use it to approximate f(0.2).

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Limits Evaluate the following limits using Taylor series.

lim ₓ→₄ (x² 16)/(ln (x 3)}

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